Kürzlich hatte ich eine Diskussion mit einigen Architekten, die für eines der größten Krankenversicherungs-Systeme in den USA arbeiten. Sie interessierten sich für die Aggregation ihrer unzähligen Silos mit medizinischen Daten (Gesundheitsdaten) und wollten diese Integration durch die Umwandlung der Daten in über 100 Milliarden semantische Tripel erreichen. Hier unser Vorschlag:

Als ich mit dem Projekt begann, wollten die Architekten des Unternehmens semantische Tripel verwenden, um die

Our customers tell us, “The scale of information we collect is mind blowing. From all over the web we collate information, along with our own internal data sources and reports. We’re struggling to manage all of this.”

Here’s how MarkLogic can help. Traditional systems like those built on relational databases (e.g. Oracle, SQL Server, etc.) are designed to handle a set of known data, with a format (or “schema”) that rarely changes. If you get new data that you want to add, that’s in a

Our customers tell us, “I know what information I want. As soon as it arrives I need to be informed about it, and to make instant use of it. I don’t want to be bothered by junk though.”

Here’s how MarkLogic can help. Our Enterprise NoSQL database platform includes a real-time alerting framework that enables timely responses. Normally when you search you say “Give me all documents that match this query.” With the alerting framework, you say “Let me know when any information arrives that

Our customers tell us, “Our organization generates a lot of information. It’s hard to keep up and decide what is relevant. Manually searching and trawling through results takes a lot of time too.”

Here’ s how MarkLogic can help. Because the MarkLogic embedded search capabilities were designed specifically to work with the database (versus other systems where developers have to develop code to tie them together), you can define very sophisticated queries, and get blazing fast results, too. Query

Our customers tell us, “I have to go through a huge dump of electronic documents. I need to find relationships, and identify topics, meetings, people, and places.”

Here’s how MarkLogic can help. MarkLogic combines an Enterprise NoSQL database with an advanced search engine within a single package. This allows data to be loaded into the system as-is, where it is fully indexed and ready for searching – with no advance data modelling or schema design required. As data flows in to the